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date. Additional Required Qualifications Relevant Ph.D. in Electrical Engineering or Computer Science or related fields, or a relevant Master's Degree and required years of relevant experience. Strong
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received after the review date will only be considered if the position has not yet been filled. Position description The Computational Medicine Research Group led by Prof. Pratik Shah at the University
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Working Title PhD MSE - Research Assistant Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science / Mechanical Engineering
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the design of innovative analytical and computational techniques to analyze,integrate and model multi modal data for the onset and progression of AMD. In doing so,the successful postdoctoral fellow will
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Positions Country Portugal Application Deadline 13 Oct 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU
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. The Ur-BIOME Research Program at Duke University, led by Dr. Nazema Siddiqui in the Department of Obstetrics and Gynecology’s Division of Urogynecology, is seeking a highly motivated Postdoctoral Fellow
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and utilizing fascinating phenomena in quantum physics. We are particularly interested to develop novel platforms for quantum information science, quantum many-body physics, quantum sensing, precision
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; Individualized mentoring A qualification program tailored to academic as well as professional career paths. The positions are limited up to 3+1 years, starting 1 April 2026; salaries are predicated on the German
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
optoelectronics, light emission, optical sensing and quantum communications. This is an ambitious research program, with a strong interdisciplinary nature, across photonics, plasmonics, device physics, electrical
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta